PHONOCARDIOGRAM SIGNAL ANALYSIS - TECHNIQUES AND PERFORMANCE COMPARISON
PHONOCARDIOGRAM SIGNAL ANALYSIS - TECHNIQUES AND PERFORMANCE COMPARISON
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DOI：
10.3109/03091909309006329
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发表时间：
1993-11-01
影响因子：
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通讯作者：
OBAIDAT, MS
中科院分区：
文献类型：
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作者：
OBAIDAT, MS
本文介绍了谱图、Wigner分布和小波变换分析方法在心音信号分析中的应用。通过对这三种方法的比较，说明了它们之间的分辨率差异。研究发现，谱图短时傅里叶变换（STFT）不能检测出心音信号的第一声的四个分量。而且，第二声音的两个分量被不准确地检测。维格纳分布可以提供PCG信号的时频特性，但是诊断信息不足：第一声音S1的四个分量没有被准确地检测到，第二声音S2的两个分量似乎是一个分量。发现小波变换能够检测正常PCG信号的第二声音S2的两个分量，即主动脉瓣分量A2和肺动脉瓣分量P2。这些成分不能用频谱图或维格纳分布检测到。然而，标准傅立叶变换可以显示这两个分量的频率，但不能显示它们之间的时间延迟。此外，小波变换提供了更多的特征和特性的PCG信号，这将有助于医生获得定性和定量测量的时间-频率特性。
This paper presents the applications of the spectrogram, Wigner distribution and wavelet transform analysis methods to the phonocardiogram (PCG) signals. A comparison between these three methods has shown the resolution differences between them. It is found that the spectrogram short-time Fourier transform (STFT), cannot detect the four components of the first sound of the PCG signal. Also, the two components of the second sound are inaccurately detected. The Wigner distribution can provide time-frequency characteristics of the PCG signal, but with insufficient diagnostic information: the four components of the first sound, S1, are not accurately detected and the two components of the second sound, S2, seem to be one component. It is found that the wavelet transform is capable of detecting the two components, the aortic valve component A2 and pulmonary valve component P2, of the second sound S2 of a normal PCG signal. These components are not detectable using the spectrogram or the Wigner distribution. However, the standard Fourier transform can display these two components in frequency but not the time delay between them. Furthermore, the wavelet transform provides more features and characteristics of the PCG signals that will help physicians to obtain qualitative and quantitative measurements of the time-frequency characteristics.